Table 1.
Parameter Means and Standard Errors for Each Condition
| Parameter | Stress Condition | Control Condition | Pdiff | ||
|---|---|---|---|---|---|
| Mean | (SE) | Mean | (SE) | ||
| A | 24.48 | (1.75) | 26.62 | (1.64) | .375 |
| a | 1.77 | (0.05) | 1.85 | (0.05) | .262 |
| τ | 215.74 | (12.60) | 208.09 | (11.80) | .659 |
| μc | 0.673 | (0.023) | 0.659 | (0.022) | .663 |
| b | 62.56 | (1.81) | 59.01 | (1.70) | .157 |
| μR | 369.80 | (6.28) | 389.77 | (6.10) | .028 |
| σR | 26.81 | (2.59) | 32.32 | (2.52) | .137 |
| α | 3.09 | (0.28) | 3.00 | (0.26) | .819 |
Note: A=size of automatic attention gamma function, a=shape of automatic attention gamma function, τ=scale of automatic attention gamma function, μc=drift rate of controlled attention (larger means better controlled attention), b=decision boundary (larger means a preference for accuracy in speed/accuracy tradeoff), μR=mean nondecision time, σR=standard deviation of nondecision time, α=shape parameter for beta distribution of variability in starting point of evidence accumulation (higher means less variability in starting point of evidence accumulation). More detail on each of these parameters is given in the Method section and Supplemental Material.